IT Project Manager

Description :

- Acts as the analytics translator and negotiator between the business and data science teams.

- Understand project scope/requirements, define and own the successful delivery of analytics projects on time and on budget.

- Drive technical and business teams to meet project milestones through collaboration and influence.

- Own all communication channels pertaining to assigned projects, including regular stakeholder review meetings.

- Work closely with the business and segment analytics leads to help drive adoption of proven and deployed analytics solutions.

- Track business impact/value enabled through analytics solutions.

- Train and mentor junior project managers.

- Lead end-to-end project delivery for data, BI, and AI-focused initiatives.

- Develop and manage detailed project plans, resource allocations, budget recovery and timelines.

- Ensure clear, concise, and confident communication across teams, including senior leadership.

- Prepare and deliver executive-level presentations and project updates.

- Proactively manage risks, issues, and dependencies to ensure successful delivery.

- Build strong relationships with business, IT, and external stakeholders.

- Drive continuous improvement in project management processes and team collaboration.

- Ensure alignment with business goals, timelines, and quality standards.

Required Skills & Experience :

- Proven experience in leading BI and AI programs independently successfully.

- Excellent communication skills (verbal, written, and visual) must be able to present with clarity and confidence.

- Must have experience presenting projects to senior business and technical executives.

- Expertise in PowerPoint and building professional-quality decks.

- Strong budgeting skills with ability to proactively identify risks to budget and timelines.

- Deep experience in stakeholder management and cross-functional collaboration.

- Strong problem-solving and detail-oriented execution capability.

- Strong experience with Agile/Scrum methodologies and tools like Jira, Asana, or MS Project.

- Experience in leading cross-functional and globally dispersed project team.

Preferred Qualifications :

- Technical knowledge in AWS, Databricks, Power BI, Tableau, and AI/ML technologies.

- Experience with data science, data visualization tools, including R, Tableau, Power BI, and Python.